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LLMs can learn self-restraint through iterative self-reflection

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. This session features Alexandre Piché's recent work on reducing hallucinations with the ReSearch algorithm: an approach based on iterative search and self-evaluation to produce more factual generations.

Building smart data platforms with AI to drive business innovation

Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI. In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.

Top 5 reasons to use Ubuntu for your AI/ML projects

For 20 years, Ubuntu has been at the cutting edge of technology. Pioneers looking to innovate new technologies and ideas choose Ubuntu as the medium to do it, whether they’re building devices for space, deploying a fleet of robots or building up financial infrastructure. The rise of machine learning is no exception and has encouraged people to develop their models on Ubuntu at different scales.

Real-world Observability AI: An Interactive Chat with Logz.io IQ Assistant

There’s so much hype around the use of AI in observability — but how does that translate into making tangible progress with your day-to-day tasks? At Logz.io we’ve introduced an AI-based chatbot assistant to the Open 360 platform that automatically delves into your stack, fine-tunes your workflows and enables conversation directly with your systems and data.

Is Your Data Center Ready for AI? 3 Hidden Bottlenecks You Need to Know

The rapid adoption of Generative AI (GenAI) tools like ChatGPT is transforming how businesses operate. These tools hold immense potential, impacting everything from marketing campaigns to legal research and software development. A recent study by PwC found that a staggering 54% of companies had integrated GenAI into their workflows as of November 2023 – a testament to the technology’s rapid adoption. However, this rapid integration presents challenges for IT leaders.

How is AI Transforming Truck Accident Prevention in St. Louis?

St. Louis, Missouri, is a central hub for a significant portion of the country's cargo and freight transportation. However, with the convergence of major highways, the city faces a significant challenge with a large influx of truck traffic. Unfortunately, this raises the likelihood of severe accidents. These accidents result in significant economic losses and profoundly impact the lives of those involved and their families.

The Trends Of Large Language Models Development

The healthcare industry is witnessing a transformative wave driven by the rapid advancement of generative AI and Large Language Models (LLMs). These cutting-edge technologies have the potential to revolutionize various aspects of healthcare, from medical documentation and research to personalized treatment plans and drug discovery. As the adoption of generative AI continues to grow, it's imperative to understand the trends and implications of this powerful technology in the healthcare domain.

Accelerating Innovation with MLOps Mastery

Machine Learning Operations (MLOps) is a methodology that combines machine learning (ML) with the principles of DevOps to streamline the development, deployment, and management of ML models. It addresses the unique challenges associated with operationalising ML, such as model versioning, reproducibility, and scalability.